# Dr. Ajab (@dr_ajab) on tiktok

- id: koinon:creator:tiktok_dr_ajab
- url: https://koinonlink.com/kol/tiktok/dr_ajab
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: dr_ajab
- platform_url: https://www.tiktok.com/@dr_ajab
- country: Nigeria
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 95205
- following: 4078
- posts_total: 596
- posts_observed: 7
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: entertainment
- subcategory: mindset
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Community health national exams and licensing, CHEW vs nurse roles and collaboration, Professional respect for community health practitioners, Career transitions in health fields, Business opportunities for community health workers

## Audience (inferred)
- status: present
- description: Community health students, CHEW graduates and practitioners preparing for national exams or debating professional roles vs nurses
- roles: none
- seniority: practitioner
- pain_points: Passing the community health national exam with specific practical skills, Lack of professional recognition and respect compared to nurses, Unclear career paths and transitions between nursing and community health, Turning community health skills into sustainable income
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 65
- authenticity_basis: profile_shape_only
- credibility_score: 65
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_dr_ajab#30250da0] The 20-minute practical that can decide whether you pass or fail the community health National exam. These are skills/steps Community Health Examiners look for during the Standing Orders Practical. #communityhealth  #drajab #fypシ゚ (https://www.tiktok.com/@dr_ajab)
- [tiktok_dr_ajab#4b92ca62] Epic Battle
- [tiktok_dr_ajab#243157fb] It is a becoming a big trend on TikTok now! Click here: communityhealth
- [tiktok_dr_ajab#04163e8d] Check out Dr. Ajab’s video! #TikTok >
- [tiktok_dr_ajab#6b7e645e] Search:
- [tiktok_dr_ajab#ebb50a2c] standing order
- [tiktok_dr_ajab#a4742609] Everyone is telling CHEW graduates to Choose CHO but nobody is telling them this! #medicalstudent #communihealthpractitional #drajab
- [tiktok_dr_ajab#a4c21bd2] original sound - busiikadancekids

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=42, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=0, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=42, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=42, method=platform_profile

## Freshness
- profile_checked_days_ago: 42
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_dr_ajab
- Request removal: https://koinonlink.com/claim?k=tiktok_dr_ajab
- Terms: https://koinonlink.com/for-ai